An method of improved BP Neural Algorithm Based on Simulated Annealing Algorithm

作者：Bai Kai^*; Xiong Jing

来源：3rd International Conference on Genetic and Evolutionary Computing, China,Guangxi Zhuang Autonomous Region,Guilin, 2009-10-14 to 2009-10-16.

DOI：10.1109/WGEC.2009.39

• BP Neural Algorithm
• neural network
• simulated annealing algorithm

This paper analyses the BP algorithm in detail, including the number of hidden layer, the amount of neural node and training algorithm. In order to improve the training speed, this paper adopts the automatic and adaptive step to perfect the BP algorithm. In addition, because the traditional BP neural network is easy to trap into local minimum, this paper makes use of the characteristic of simulated annealing algorithm and let it unite with BP algorithm. Because the simulated annealing algorithm can get optimal approximation by searching local, it can help BP algorithm not to trap into local minimum.

• 出版日期2009
• 单位长江大学